Develop Reference

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)

Pandas converting sub-columns into rows

I have added a picture of my dataframe. There are sub-columns names which are 'GBPEUR=X' 'GBPJPY=X' and 'USDMXN=X'. I would like to take these sub-headings and turn them into different rows. Any idea of how to do this as cant find anything else on the internet? Code below:
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import yfinance as yf
%matplotlib inline
df = yf.Tickers('GBPJPY=X GBPEUR=X USDMXN=X')
currencies = df.history(period='max')

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>)

Python: Iris Data Set, include the species

I have the below code and it returns me the min and max values of the chosen column, however, I would also like to include the species that this value relates to. I have also included the column names in the csv file.
import pandas as pd
import numpy as np
import scipy as sp
import matplotlib as mpl
import seaborn as sns
df = pd.read_csv("iris head.csv")
print(min(df['Sepal Length']))
print(max(df['Sepal Length']))

IIUC is as follows:
df.groupby(['class'])['Sepal Length'].agg(['max','min'])

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()