Creating a Line graph from data within an excel spreadsheet - python

I have data from an excel spreadsheet concerning the UK economy but how do i make a line graph from said information? This is what i have so far:
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
from sklearn.decomposition import PCA
df = (pd.read_excel('Uk_data.xlsx').dropna())
dataset = df.to_dict()
print(df[0:])
plt.figure(figsize=(9,9))
plt.style.use('seaborn')
plt.title("UK GDP Since 2017")
plt.show()
print(df.head())

Related

Cannot create a boxplot from a CSV file in Python with pandas and matplotlib

I cannot create a full boxplot from my CSV file with pandas and matplotlib in Python.
This is what I get:
My CSV file:
id,type_EN,nb_EN
1,VP,15
2,VN,600
3,FP,78
4,FN,17
5,NOK,974
My code:
# import the required library
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
%matplotlib inline
# load the dataset
df = pd.read_csv("boxplot.csv")
# display 5 rows of dataset
# df.head()
# print the boxplot
df.boxplot(by ="type_EN", column =["nb_EN"], grid = False)

Taking data from specific columns in a dataset

I need to take data from only 3 columns in my dataset, how do I do this? I am trying to make a correlation graph. This is my code:
import matplotlib.pyplot as plt
import pandas as pd
crimedata = pd.read_csv('MasterFileCSV.csv')
crime_df = pd.DataFrame(crimedata)
plt.matshow(crime_df.corr())
plt.show

How to plot dates from a csv file?

I am new to python and I am having some issues to plot my dates from a csv file.
The code is the following:
import pandas as pd
import numpy as np
import statsmodels.api as sm
from pandas import DataFrame
import matplotlib.pyplot as plt
df = pd.read_csv(r"file.csv",index_col=0)
print(df.describe())
BHSI_cycle, BHSI_trend = sm.tsa.filters.hpfilter(df['BHSI-TCA'])
df['BHSI_trend'] = BHSI_trend
df['BHSI_cycle'] = BHSI_cycle
BHSI_plot = df[['BHSI-TCA','BHSI_trend']].plot(figsize=(12,10))
plt.show(BHSI_plot)
BHSI_plot2 = df[['BHSI_cycle']].plot(figsize=(12,10))
plt.show(BHSI_plot2)
And the CSV file is:
Date BHSI-TCA
23/05/2006 14821
25/05/2006 14878
30/05/2006 14837
How can I plot the dates?

Try parsing dates properly when you import from csv.
df = pd.read_csv(r"file.csv", index_col=0, parse_dates=<your_date_column>)

How can I show True/False graph on Python

I have a csv file and I want to show this data on grap. I have date,place and status data but I don't need place so I fetch data like this.
And going like this
Here is my code. How can I get a graph with 1-0 values according to date value. Which method should I use ? Thanks
import pandas as pd from pandas
import DataFrame
import datetime
import pandas.io.data
import matplotlib.pyplot as plt from mpl_toolkits.mplot3d
import Axes3D import pylab rows_list=[] df=pd.read_csv('filepath',header=None,parse_dates=True,pr‌​efix='column')
for row in df.iterrows():
if row[1][1]=='Beweging in de living':
if row[1][2]=='OPEN': rows_list.append([row[1][0],'1'])
else: rows_list.append([row[1][0],'0'])
df2 = pd.DataFrame(rows_list)
df3=df2.set_index(0)
print df3 plt.plot(df3)
plt.show()

How to create box plot from pandas object using matplotlib?

I read data into pandas object and then I want to create a box plot using matplotlib (not pandas.boxplot()). This is just for learning purposes. This is my code, in which myData['MyColumn'] fails.
import matplotlib.pyplot as plt
import pandas as pd
myData = pd.read_csv('data/myData.csv')
plt.boxplot(myData['MyColumn'])
plt.show()

Your code works fine with fake data. Check the type of the data you're trying to plot.
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
myData = pd.DataFrame(np.random.rand(10, 2), columns=['MyColumn', 'blah'])
plt.boxplot(myData['MyColumn'])
plt.show()

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