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pythonpandashistogram

Multiple histograms from multiple dataframes into one in pandas

I am beginner in python and pandas I have three CSV data. I want to make one histogram from these three dataframe. I used this code 

import pandas as pd
from matplotlib import pyplot as plt
X = pd.read_csv("data1.csv")
Y = pd.read_csv("data2.csv")
Z = pd.read_csv("data3.csv")

X.hist(column='speed', weights=X.ID,figsize=(20,10), stacked=True, bins=50, color = 'Blue', )
Y.hist(column='speed', weights=Y.ID,figsize=(20,10), stacked=True, bins=50, color = 'Red')
Z.hist(column='speed', weights=Z.ID,figsize=(20,10), stacked=True, bins=50, color = 'Grey')
plt.rc('xtick',labelsize=25)
plt.rc('ytick',labelsize=25)

enter image description here

enter image description here

enter image description here

but I got three different histograms. How to make these three into one histogram with three colour of each histogram included?

Solution

  • I would go for this:

    import pandas as pd
import matplotlib.pyplot as plt

X = pd.read_csv("data1.csv")
Y = pd.read_csv("data2.csv")
Z = pd.read_csv("data3.csv")

plt.hist([X.speed.values.flatten(), Y.speed.values.flatten(), Z.speed.values.flatten()], weights=[X.ID.values.flatten(), Y.ID.values.flatten(), Z.values.flatten()], label=['X', 'Y', 'Z'])
plt.legend()
plt.rc('xtick', labelsize=25)
plt.rc('ytick', labelsize=25)