I am working on replacing Pandas library to Koalas Library in my python repo in VS Code. But Koalas module does not seem to have DateOffset() module similar to what pandas has.
I tried this :
import databricks.koalas as ks
kdf["date_col_2"] = kdf["date_col_1"] - ks.DateOffset(months=cycle_info_gap)
It results in the below error :
AttributeError: module 'databricks.koalas' has no attribute 'DateOffset'
Is there any alternative for this in Koalas?
Related
I am trying to run this code:
from pandas.io.parsers.readers import read_table
from tensorflow.python.ops.gen_io_ops import read_file
t_x, t_y = next(valid_gen)
But I always get this error:
AttributeError: module 'tensorflow' has no attribute 'read_file'.
I found that in many comments they mention that the function has been moved into the tensorflow.io module. Any one can help me to resolve this issue ?
Thanks
I am new to TDA tools in python and I was implementing a simple code to get familiar with these, but I got a strange error
import tadasets
from ripser import ripser
import persim
circle = tadasets.dsphere(d=1)
dgms = ripser(circle)
persim.plot_diagrams(dgms)
AttributeError: 'dict' object has no attribute 'astype'.
Actually I am working on Jupyter notebook with python version 3.8.3
I am trying to use the library Deepbrain to extract brains from the entire MRIs scan I am using the code
def Reduce_Brain(img):
img_data = img.get_fdata()
prob = ext.run(img)
print(prob)
img = nib.load('ADNI_002_S_0295.nii')
Reduce_Brain(img)
however, when I tried this I got the error module 'tensorflow' has no attribute 'Session' which I found was an error to do with the wrong version of tensorflow so I then changed the library code as said in the other question (see below). but this produced more errors such as module 'tensorflow' has no attribute 'gfile'
Tensorflow 2.0 - AttributeError: module 'tensorflow' has no attribute 'Session'
https://github.com/iitzco/deepbrain
In TF 2.x you should use tf.compat.v1.Session() instead of tf.Session().
Take a look at Migrate_tf2 guide for more information
To get TF 1.x like behaviour in TF 2.0 add below code
import tensorflow.compat.v1 as tf
tf.disable_v2_behavior()
I am trying to to use the pandas profiling for profile report. I got the error "module' object is not callable. How can I fix in Jupyter notebook from Anaconda.
My code:
import pandas as pd
import pandas_profiling
df = pd.read_csv(r'C:\Users\tai.phan\Desktop\Pythone training\Data\titanic.csv')
pandas_profiling.profile_report(df)
The error:
TypeError: 'module' object is not callable
pandas_profiling isn't a function
import pandas as pd
import pandas_profiling.profile_report as report
df = pd.read_csv(r'C:\Users\tai.phan\Desktop\Pythone training\Data\titanic.csv')
report.whateverfunctionyouwant(df)
look at the documentation to understand this module more
https://pandas-profiling.github.io/pandas-profiling/docs/master/index.html
you can also select a function from the following list of functions for profile_report
clear_config
description_set
df_hash
get_description
get_duplicates
get_rejected_variables
get_sample
html
json
preprocess
report
set_variable
set_variables
title
to_app
to_file
to_html
to_json
to_notebook_iframe
to_widgets
widgets
try df.profile_report() worked for me
Im trying to use the following code (example):
import pandas as pd
(import statsmodels.api as sm) - Tried adding, no luck
from statsmodels.graphics.tsaplots import plot_acf, plot_pacf
x = pd.DataFrame(imports a vector)
plot_acf(x)
There is some code in between, but the problem arises when Python tries to plot the autocorrelation using statsmodels, and returns the following error:
File "/Users/user/anaconda/lib/python3.6/site-packages/statsmodels/iolib/foreign.py",
line 20, in <module>
import statsmodels.tools.data as data_util
AttributeError: module 'statsmodels' has no attribute 'tools'
I tried reinstalling multiple libraries, but nothing seems to get me past this error. Could this be a statsmodels-side bug?