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Pandas error when using resample and groupby to apply function - python

I am new to python. I used to code in R and work with period_apply function. So I tried the following approaches in python below.
First, I do not understand what the errors are trying to tell me.
Second, I do not understand why I only get errors with groupby if I include the first row of the data. Yet with resample, i get error no matter whether I include the first row or not.
Third, how do I resolve this problem, please do not tell me skip the first row, because I work with a much much bigger dataset
Data
Best_Bid Best_Ask
Timestamp
2019-05-02 11:59:59.602 29636.0 29638.0
2019-05-02 12:59:00.033 NaN NaN
2019-05-02 12:59:00.033 NaN NaN
2019-05-02 12:59:00.033 NaN NaN
2019-05-02 12:59:00.033 NaN NaN
2019-05-02 12:59:00.033 NaN NaN
2019-05-02 12:59:00.033 NaN NaN
{'Best_Bid': {Timestamp('2019-05-02 11:59:59.602000'): 29636.0,
Timestamp('2019-05-02 12:59:00.033000'): nan},
'Best_Bid_Q': {Timestamp('2019-05-02 11:59:59.602000'): 4.0,
Timestamp('2019-05-02 12:59:00.033000'): nan},
'Best_Ask': {Timestamp('2019-05-02 11:59:59.602000'): 29638.0,
Timestamp('2019-05-02 12:59:00.033000'): nan}}
And I am trying to apply the below function(I know I could have just done .agg({'Best_Bid':['last']}) but this is a simplified version of my original code).
Function
def func(x):
best_bid = (x['Best_Bid'])[-1]
best_ask = (x['Best_Ask'])[-1]
return pd.Series([best_bid,best_ask], index=['bbbid', 'aaask'])
groupby and grouper
If I skip the first row and run. Things work fine.
df.iloc[1:,:].groupby(pd.Grouper(freq='180S',closed='right',label='right',base=-0.0001)).apply(func)
bbbid aaask
Timestamp
2019-05-02 12:59:59.999899904 NaN NaN
However, if i include the first row, I got the following error.
df.groupby(pd.Grouper(freq='180S',closed='right',label='right',base=-0.0001)).apply(func)
Traceback (most recent call last):
File "C:\Users\testUser\AppData\Local\Programs\Python\Python38\lib\site-packages\pandas\core\indexes\base.py", line 4405, in get_value
return self._engine.get_value(s, k, tz=getattr(series.dtype, "tz", None))
File "pandas\_libs\index.pyx", line 80, in pandas._libs.index.IndexEngine.get_value
File "pandas\_libs\index.pyx", line 90, in pandas._libs.index.IndexEngine.get_value
File "pandas\_libs\index.pyx", line 471, in pandas._libs.index.DatetimeEngine.get_loc
File "pandas\_libs\hashtable_class_helper.pxi", line 997, in pandas._libs.hashtable.Int64HashTable.get_item
File "pandas\_libs\hashtable_class_helper.pxi", line 1004, in pandas._libs.hashtable.Int64HashTable.get_item
KeyError: -1
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "C:\Users\testUser\AppData\Local\Programs\Python\Python38\lib\site-packages\IPython\core\interactiveshell.py", line 3331, in run_code
exec(code_obj, self.user_global_ns, self.user_ns)
File "<ipython-input-191-85550b07b869>", line 1, in <module>
df.iloc[371448:371455,0:3].groupby(pd.Grouper(freq='180S',closed='right',label='right',base=-0.0001)).apply(func)
File "C:\Users\testUser\AppData\Local\Programs\Python\Python38\lib\site-packages\pandas\core\groupby\groupby.py", line 735, in apply
result = self._python_apply_general(f)
File "C:\Users\testUser\AppData\Local\Programs\Python\Python38\lib\site-packages\pandas\core\groupby\groupby.py", line 751, in _python_apply_general
keys, values, mutated = self.grouper.apply(f, self._selected_obj, self.axis)
File "C:\Users\testUser\AppData\Local\Programs\Python\Python38\lib\site-packages\pandas\core\groupby\ops.py", line 206, in apply
res = f(group)
File "<ipython-input-104-c57c7e2b6885>", line 2, in func
best_bid = (x['Best_Bid'])[-1]
File "C:\Users\testUser\AppData\Local\Programs\Python\Python38\lib\site-packages\pandas\core\series.py", line 871, in __getitem__
result = self.index.get_value(self, key)
File "C:\Users\testUser\AppData\Local\Programs\Python\Python38\lib\site-packages\pandas\core\indexes\datetimes.py", line 651, in get_value
value = Index.get_value(self, series, key)
File "C:\Users\testUser\AppData\Local\Programs\Python\Python38\lib\site-packages\pandas\core\indexes\base.py", line 4411, in get_value
return libindex.get_value_at(s, key)
File "pandas\_libs\index.pyx", line 44, in pandas._libs.index.get_value_at
File "pandas\_libs\index.pyx", line 45, in pandas._libs.index.get_value_at
File "pandas\_libs\util.pxd", line 98, in pandas._libs.util.get_value_at
File "pandas\_libs\util.pxd", line 89, in pandas._libs.util.validate_indexer
IndexError: index out of bounds
Traceback (most recent call last):
File "C:\Users\testUser\AppData\Local\Programs\Python\Python38\lib\site-packages\pandas\core\indexes\base.py", line 4405, in get_value
return self._engine.get_value(s, k, tz=getattr(series.dtype, "tz", None))
File "pandas\_libs\index.pyx", line 80, in pandas._libs.index.IndexEngine.get_value
File "pandas\_libs\index.pyx", line 90, in pandas._libs.index.IndexEngine.get_value
File "pandas\_libs\index.pyx", line 471, in pandas._libs.index.DatetimeEngine.get_loc
File "pandas\_libs\hashtable_class_helper.pxi", line 997, in pandas._libs.hashtable.Int64HashTable.get_item
File "pandas\_libs\hashtable_class_helper.pxi", line 1004, in pandas._libs.hashtable.Int64HashTable.get_item
KeyError: -1
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "C:\Users\testUser\AppData\Local\Programs\Python\Python38\lib\site-packages\IPython\core\interactiveshell.py", line 3331, in run_code
exec(code_obj, self.user_global_ns, self.user_ns)
File "<ipython-input-191-85550b07b869>", line 1, in <module>
df.iloc[371448:371455,0:3].groupby(pd.Grouper(freq='180S',closed='right',label='right',base=-0.0001)).apply(func)
File "C:\Users\testUser\AppData\Local\Programs\Python\Python38\lib\site-packages\pandas\core\groupby\groupby.py", line 735, in apply
result = self._python_apply_general(f)
File "C:\Users\testUser\AppData\Local\Programs\Python\Python38\lib\site-packages\pandas\core\groupby\groupby.py", line 751, in _python_apply_general
keys, values, mutated = self.grouper.apply(f, self._selected_obj, self.axis)
File "C:\Users\testUser\AppData\Local\Programs\Python\Python38\lib\site-packages\pandas\core\groupby\ops.py", line 206, in apply
res = f(group)
File "<ipython-input-104-c57c7e2b6885>", line 2, in func
best_bid = (x['Best_Bid'])[-1]
File "C:\Users\testUser\AppData\Local\Programs\Python\Python38\lib\site-packages\pandas\core\series.py", line 871, in __getitem__
result = self.index.get_value(self, key)
File "C:\Users\testUser\AppData\Local\Programs\Python\Python38\lib\site-packages\pandas\core\indexes\datetimes.py", line 651, in get_value
value = Index.get_value(self, series, key)
File "C:\Users\testUser\AppData\Local\Programs\Python\Python38\lib\site-packages\pandas\core\indexes\base.py", line 4411, in get_value
return libindex.get_value_at(s, key)
File "pandas\_libs\index.pyx", line 44, in pandas._libs.index.get_value_at
File "pandas\_libs\index.pyx", line 45, in pandas._libs.index.get_value_at
File "pandas\_libs\util.pxd", line 98, in pandas._libs.util.get_value_at
File "pandas\_libs\util.pxd", line 89, in pandas._libs.util.validate_indexer
IndexError: index out of bounds
Resample
I got the following error regardless of including the first row or not.
df.resample(rule='180S',closed='right',label='right',base=-0.0001).agg(func)
Traceback (most recent call last):
File "C:\Users\testUser\AppData\Local\Programs\Python\Python38\lib\site-packages\pandas\core\indexes\base.py", line 4411, in get_value
return libindex.get_value_at(s, key)
File "pandas\_libs\index.pyx", line 44, in pandas._libs.index.get_value_at
File "pandas\_libs\index.pyx", line 45, in pandas._libs.index.get_value_at
File "pandas\_libs\util.pxd", line 98, in pandas._libs.util.get_value_at
File "pandas\_libs\util.pxd", line 83, in pandas._libs.util.validate_indexer
TypeError: 'str' object cannot be interpreted as an integer
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "C:\Users\testUser\AppData\Local\Programs\Python\Python38\lib\site-packages\pandas\core\indexes\datetimes.py", line 651, in get_value
value = Index.get_value(self, series, key)
File "C:\Users\testUser\AppData\Local\Programs\Python\Python38\lib\site-packages\pandas\core\indexes\base.py", line 4419, in get_value
raise e1
File "C:\Users\testUser\AppData\Local\Programs\Python\Python38\lib\site-packages\pandas\core\indexes\base.py", line 4405, in get_value
return self._engine.get_value(s, k, tz=getattr(series.dtype, "tz", None))
File "pandas\_libs\index.pyx", line 80, in pandas._libs.index.IndexEngine.get_value
File "pandas\_libs\index.pyx", line 90, in pandas._libs.index.IndexEngine.get_value
File "pandas\_libs\index.pyx", line 473, in pandas._libs.index.DatetimeEngine.get_loc
File "pandas\_libs\index.pyx", line 479, in pandas._libs.index.DatetimeEngine._date_check_type
KeyError: 'Best_Bid'
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "pandas\_libs\tslibs\conversion.pyx", line 520, in pandas._libs.tslibs.conversion.convert_str_to_tsobject
File "pandas\_libs\tslibs\parsing.pyx", line 228, in pandas._libs.tslibs.parsing.parse_datetime_string
File "C:\Users\testUser\AppData\Local\Programs\Python\Python38\lib\site-packages\dateutil\parser\_parser.py", line 1374, in parse
return DEFAULTPARSER.parse(timestr, **kwargs)
File "C:\Users\testUser\AppData\Local\Programs\Python\Python38\lib\site-packages\dateutil\parser\_parser.py", line 649, in parse
raise ParserError("Unknown string format: %s", timestr)
dateutil.parser._parser.ParserError: Unknown string format: Best_Bid
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "C:\Users\testUser\AppData\Local\Programs\Python\Python38\lib\site-packages\pandas\core\indexes\datetimes.py", line 660, in get_value
return self.get_value_maybe_box(series, key)
File "C:\Users\testUser\AppData\Local\Programs\Python\Python38\lib\site-packages\pandas\core\indexes\datetimes.py", line 675, in get_value_maybe_box
key = Timestamp(key)
File "pandas\_libs\tslibs\timestamps.pyx", line 418, in pandas._libs.tslibs.timestamps.Timestamp.__new__
File "pandas\_libs\tslibs\conversion.pyx", line 292, in pandas._libs.tslibs.conversion.convert_to_tsobject
File "pandas\_libs\tslibs\conversion.pyx", line 523, in pandas._libs.tslibs.conversion.convert_str_to_tsobject
ValueError: could not convert string to Timestamp
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "C:\Users\testUser\AppData\Local\Programs\Python\Python38\lib\site-packages\IPython\core\interactiveshell.py", line 3331, in run_code
exec(code_obj, self.user_global_ns, self.user_ns)
File "<ipython-input-190-d2caa0c5152a>", line 1, in <module>
df.iloc[371448:371455,0:3].resample(rule='180S',closed='right',label='right',base=-0.0001).agg(func)
File "C:\Users\testUser\AppData\Local\Programs\Python\Python38\lib\site-packages\pandas\core\resample.py", line 285, in aggregate
result = self._groupby_and_aggregate(how, grouper, *args, **kwargs)
File "C:\Users\testUser\AppData\Local\Programs\Python\Python38\lib\site-packages\pandas\core\resample.py", line 359, in _groupby_and_aggregate
result = grouped._aggregate_item_by_item(how, *args, **kwargs)
File "C:\Users\testUser\AppData\Local\Programs\Python\Python38\lib\site-packages\pandas\core\groupby\generic.py", line 1172, in _aggregate_item_by_item
result[item] = colg.aggregate(func, *args, **kwargs)
File "C:\Users\testUser\AppData\Local\Programs\Python\Python38\lib\site-packages\pandas\core\groupby\generic.py", line 269, in aggregate
result = self._aggregate_named(func, *args, **kwargs)
File "C:\Users\testUser\AppData\Local\Programs\Python\Python38\lib\site-packages\pandas\core\groupby\generic.py", line 452, in _aggregate_named
output = func(group, *args, **kwargs)
File "<ipython-input-104-c57c7e2b6885>", line 2, in func
best_bid = (x['Best_Bid'])[-1]
File "C:\Users\testUser\AppData\Local\Programs\Python\Python38\lib\site-packages\pandas\core\series.py", line 871, in __getitem__
result = self.index.get_value(self, key)
File "C:\Users\testUser\AppData\Local\Programs\Python\Python38\lib\site-packages\pandas\core\indexes\datetimes.py", line 662, in get_value
raise KeyError(key)
KeyError: 'Best_Bid'

From what I can tell you are getting an error with the (x['Best_Bid'])[-1] because it is returning a KeyError: -1
Your apply function is iterating though each element (x) from the column (Best_Bid and Bid_Ask) and trying to grab the last index from the element (x) which doesn't make sense.
I don't have your dataset in front of me to work with but I would try this code to see if it works.
gdf = df.groupby(pd.Grouper(freq='180S',closed='right',label='right',base=-0.0001)).copy()
print(gdf['Best_Bid'][gdf.index[-1]],gdf.index[-1])
print(gdf['Best_Ask'][gdf.index[-1]],gdf.index[-1])
Now this code can definitely be simplified but it should work for all rows and it will be much faster than the .apply method if it is a large dataset.

Related

I'm trying to run this code in replit:
df_cat = pd.melt(df, id_vars='cardio', value_vars=['active', 'alco', 'cholesterol', 'gluc', 'overweight', 'smoke'])
c = df_cat.groupby(['cardio','variable','value'], as_index=False,level=None, sort=True, group_keys=True, observed=False).size()
cardio_0 = c[c['cardio']==0]
cardio_1 = c[c['cardio']==1]
the code works perfectly in pycharm, but it doesn't work in replit and I don't know
what else to do. I got this error:
Traceback (most recent call last):
File "main.py", line 6, in <module>
medical_data_visualizer.draw_cat_plot()
File "/home/runner/boilerplate-medical-data-visualizer/medical_data_visualizer.py", line 33, in draw_cat_plot
cardio_0 = c(c['cardio']==0)
File "/home/runner/boilerplate-medical-data-visualizer/venv/lib/python3.8/site-packages/pandas/core/series.py", line 1071, in __getitem__
result = self.index.get_value(self, key)
File "/home/runner/boilerplate-medical-data-visualizer/venv/lib/python3.8/site-packages/pandas/core/indexes/multi.py", line 1510, in get_value
raise e1
File "/home/runner/boilerplate-medical-data-visualizer/venv/lib/python3.8/site-packages/pandas/core/indexes/multi.py", line 1494, in get_value
return self._engine.get_value(s, k)
File "pandas/_libs/index.pyx", line 80, in pandas._libs.index.IndexEngine.get_value
File "pandas/_libs/index.pyx", line 88, in pandas._libs.index.IndexEngine.get_value
File "pandas/_libs/index.pyx", line 107, in pandas._libs.index.IndexEngine.get_loc
File "pandas/_libs/index.pyx", line 670, in pandas._libs.index.BaseMultiIndexCodesEngine.get_loc
KeyError: 'cardio'
the same code works perfectly in pycharm

I want to create a Polygon from a list of coordinates:
import pandas as pd
from shapely.geometry import Point, Polygon
data = pd.read_csv('path.csv', sep=';')
the data is in the following format
Suburb
features_geometry_x
features_geometry_y
1
50.941840
6.9595637
1
50.941845
6.9595698
3
50.94182
6.9595632
4
50.9418837
6.9595958
with several rows for suburb 1, 3 and 4
#create a polygon
I = data.loc[data['Suburb'] == 1]
I['coordinates'] = list(zip(I['features_geometry_x'], I['features_geometry_y']))
poly_i = Polygon(I['coordinates'])
the code above works fine but if I do the same thing for suburb 3 and 4 it yields the following error:
L = data.loc[data['Suburb'] == 3]
L['coordinates'] = list(zip(L['features_geometry_x'], L['features_geometry_y']))
poly_l = Polygon(L['coordinates'])
File "shapely/speedups/_speedups.pyx", line 252, in shapely.speedups._speedups.geos_linearring_from_py
File "/Users/Jojo/opt/anaconda3/lib/python3.8/site-packages/pandas/core/generic.py", line 5487, in getattr
return object.getattribute(self, name)
AttributeError: 'Series' object has no attribute 'array_interface'
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/Users/Jojo/opt/anaconda3/lib/python3.8/site-packages/pandas/core/indexes/base.py", line 3361, in get_loc
return self._engine.get_loc(casted_key)
File "pandas/_libs/index.pyx", line 76, in pandas._libs.index.IndexEngine.get_loc
File "pandas/_libs/index.pyx", line 108, in pandas._libs.index.IndexEngine.get_loc
File "pandas/_libs/hashtable_class_helper.pxi", line 2131, in pandas._libs.hashtable.Int64HashTable.get_item
File "pandas/_libs/hashtable_class_helper.pxi", line 2140, in pandas._libs.hashtable.Int64HashTable.get_item
KeyError: 0
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/var/folders/j6/wgg72kmx145f3krf14nzjfq40000gn/T/ipykernel_4092/214655495.py", line 3, in
poly_l = Polygon(Lindenthal['coordinates'])
File "/Users/Jojo/opt/anaconda3/lib/python3.8/site-packages/shapely/geometry/polygon.py", line 261, in init
ret = geos_polygon_from_py(shell, holes)
File "/Users/Jojo/opt/anaconda3/lib/python3.8/site-packages/shapely/geometry/polygon.py", line 539, in geos_polygon_from_py
ret = geos_linearring_from_py(shell)
File "shapely/speedups/_speedups.pyx", line 344, in shapely.speedups._speedups.geos_linearring_from_py
File "/Users/Jojo/opt/anaconda3/lib/python3.8/site-packages/pandas/core/series.py", line 942, in getitem
return self._get_value(key)
File "/Users/Jojo/opt/anaconda3/lib/python3.8/site-packages/pandas/core/series.py", line 1051, in _get_value
loc = self.index.get_loc(label)
File "/Users/Jojo/opt/anaconda3/lib/python3.8/site-packages/pandas/core/indexes/base.py", line 3363, in get_loc
raise KeyError(key) from err
KeyError: 0
Please help :)

I think the issue here is that you need more than one data point to create a polygon where as your suburb 2 and 3 each got only a single point.

When I execute the following statement:
spark.sql("SELECT CAST('0001-01-01' AS TIMESTAMP)").show()
I get:
CAST(0001-01-01 AS TIMESTAMP)
0001-01-01 00:00:00
but when I use spark.sql("SELECT CAST('0001-01-01' AS TIMESTAMP)").collect() I get the following error:
Fail to execute line 1: spark.sql("SELECT CAST('0001-01-01' AS TIMESTAMP)").collect()
Traceback (most recent call last):
File "/tmp/zeppelin_pyspark-6127737743421449115.py", line 380, in <module>
exec(code, _zcUserQueryNameSpace)
File "<stdin>", line 1, in <module>
File "/usr/lib/spark/python/lib/pyspark.zip/pyspark/sql/dataframe.py", line 535, in collect
return list(_load_from_socket(sock_info, BatchedSerializer(PickleSerializer())))
File "/usr/lib/spark/python/lib/pyspark.zip/pyspark/serializers.py", line 147, in load_stream
yield self._read_with_length(stream)
File "/usr/lib/spark/python/lib/pyspark.zip/pyspark/serializers.py", line 172, in _read_with_length
return self.loads(obj)
File "/usr/lib/spark/python/lib/pyspark.zip/pyspark/serializers.py", line 580, in loads
return pickle.loads(obj, encoding=encoding)
File "/usr/lib/spark/python/lib/pyspark.zip/pyspark/sql/types.py", line 1396, in <lambda>
return lambda *a: dataType.fromInternal(a)
File "/usr/lib/spark/python/lib/pyspark.zip/pyspark/sql/types.py", line 633, in fromInternal
for f, v, c in zip(self.fields, obj, self._needConversion)]
File "/usr/lib/spark/python/lib/pyspark.zip/pyspark/sql/types.py", line 633, in <listcomp>
for f, v, c in zip(self.fields, obj, self._needConversion)]
File "/usr/lib/spark/python/lib/pyspark.zip/pyspark/sql/types.py", line 445, in fromInternal
return self.dataType.fromInternal(obj)
File "/usr/lib/spark/python/lib/pyspark.zip/pyspark/sql/types.py", line 199, in fromInternal
return datetime.datetime.fromtimestamp(ts // 1000000).replace(microsecond=ts % 1000000)
ValueError: year 0 is out of range

In your timezone, 0001-01-01 would be treated as 0000-12-31 and the year value with 0 is invalid for the internal function ymd_to_ord() in the datetime package. See the reference
This is not happening in the scala version of spark.

I am trying to get the last value of column named "mass".
df = pd.read_csv('0000.csv', names=["chi", "mass"])
df_1 = pd.read_csv('0001.csv', names=['chi', 'mass'])
x=df['mass'][-1]
print(x)
And it raised error:
Traceback (most recent call last):
File "plot.py", line 22, in <module>
df2=df['mass'][-1]
File "/usr/lib64/python2.7/site-packages/pandas/core/series.py", line 557, in __getitem__
result = self.index.get_value(self, key)
File "/usr/lib64/python2.7/site-packages/pandas/core/index.py", line 1790, in get_value
return self._engine.get_value(s, k)
File "pandas/index.pyx", line 103, in pandas.index.IndexEngine.get_value (pandas/index.c:3204)
File "pandas/index.pyx", line 111, in pandas.index.IndexEngine.get_value (pandas/index.c:2903)
File "pandas/index.pyx", line 157, in pandas.index.IndexEngine.get_loc (pandas/index.c:3843)
File "pandas/hashtable.pyx", line 303, in pandas.hashtable.Int64HashTable.get_item (pandas/hashtable.c:6525)
File "pandas/hashtable.pyx", line 309, in pandas.hashtable.Int64HashTable.get_item (pandas/hashtable.c:6463)
KeyError: -1
However, I did succeed for the first value using df['mass'][0]. Why it does not work for index "-1"? I know there are alternative methods like using iloc iat values. But I just think df['mass'][0] would be the simplest one if it works.

I have a collection of points x and y. Say they are:
import numpy as np
from shapely.geometry import Point, LineString
from shapely.geometry.polygon import Polygon
from geopandas import GeoSeries
x_data = np.arrange(20)
y_data = np.arrange(20)
Now, I want to have an array of points and later, to create a LineString from a region of that array. Now I have:
points = GeoSeries(map(Point, zip(x_data, y_data)))
My problem is regarding the creation of the LineString. I do:
line = LineString([points[initial:last]])
But this is giving me errors:
Traceback (most recent call last): File
"shapely\speedups\_speedups.pyx", line 86, in
shapely.speedups._speedups.geos_linestring_from_py File "C:\Program
Files\Python37\lib\site-packages\pandas\core\generic.py", line 5063,
in \__getattr\__
return object.\__getattribute\__(self, name) AttributeError: 'GeoSeries' object has no attribute '\__array_interface\__'
During handling of the above exception, another exception occurred:
Traceback (most recent call last): File ".\my_progam.py",
line 292, in <module>
line = LineString(points[initial:last]) File "C:\Program Files\Python37\lib\site-packages\shapely\geometry\linestring.py", line
48, in \__init\__
self._set_coords(coordinates) File "C:\Program Files\Python37\lib\site-packages\shapely\geometry\linestring.py", line
97, in _set_coords
ret = geos_linestring_from_py(coordinates) File "shapely\speedups\_speedups.pyx", line 162, in
shapely.speedups._speedups.geos_linestring_from_py File "C:\Program
Files\Python37\lib\site-packages\geopandas\geoseries.py", line 143, in
\__getitem\__
return self._wrapped_pandas_method('\__getitem\__', key) File "C:\Program Files\Python37\lib\site-packages\geopandas\geoseries.py",
line 135, in _wrapped_pandas_method
val = getattr(super(GeoSeries, self), mtd)(*args, **kwargs) File "C:\Program Files\Python37\lib\site-packages\pandas\core\series.py",
line 868, in \__getitem\__
result = self.index.get_value(self, key) File "C:\Program Files\Python37\lib\site-packages\pandas\core\indexes\base.py", line
4374, in get_value
tz=getattr(series.dtype, 'tz', None)) File "pandas\_libs\index.pyx", line 81, in
pandas._libs.index.IndexEngine.get_value File
"pandas\_libs\index.pyx", line 89, in
pandas._libs.index.IndexEngine.get_value File
"pandas\_libs\index.pyx", line 132, in
pandas._libs.index.IndexEngine.get_loc File
"pandas\_libs\hashtable_class_helper.pxi", line 987, in
pandas._libs.hashtable.Int64HashTable.get_item File
"pandas\_libs\hashtable_class_helper.pxi", line 993, in
pandas._libs.hashtable.Int64HashTable.get_item KeyError: 0