plot a pandas dataframe matplotlib
import pandas as pd import matplotlib.pyplot as plt df = pd.Dataframe(Data) df.plot(kind='bar',x="dataframe_1",y="dataframe_2") # bar can be replaced by # scatter or line or even left as default plt.show()
plot a pandas dataframe matplotlib
import pandas as pd import matplotlib.pyplot as plt df = pd.Dataframe(Data) df.plot(kind='bar',x="dataframe_1",y="dataframe_2") # bar can be replaced by # scatter or line or even left as default plt.show()
plot pandas series with matplotlib
import matplotlib.pyplot as plt # maximum range of data available for all three metrics = [2006-2010] sold = home_data.loc[home_data.YearBuilt >= 2006].groupby(by=["YrSold"]).Id.count() built = home_data.loc[home_data.YearBuilt >= 2006].groupby(by=["YearBuilt"]).Id.count() modd = home_data.loc[home_data.YearBuilt >= 2006].groupby(by=["YearRemodAdd"]).Id.count() # extend the data to current year(2021) extend_series = pd.Series([0 for i in range(2011,2022)], index=range(2011,2022)) sold = pd.concat([sold,extend_series]) built = pd.concat([built,extend_series]) modd = pd.concat([built,extend_series]) plt.figure(figsize=(10,16)) plt.subplot(311) plt.xlabel("Year") plt.ylabel("# of Houses Built") plt.plot(built.index, built, color='green') plt.subplot(312) plt.xlabel("Year") plt.ylabel("# of Houses Sold") plt.plot(sold.index, sold, color='red') plt.subplot(313) plt.xlabel("Year") plt.ylabel("# of Houses ReModded") plt.plot(modd.index, modd, color='cyan')
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