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()
python matplotlib
from matplotlib import pyplot as plt
# Median Developer Salaries by Age
dev_x = [25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35]
dev_y = [38496, 42000, 46752, 49320, 53200,
56000, 62316, 64928, 67317, 68748, 73752]
plt.plot(dev_x, dev_y)
plt.xlabel('Ages')
plt.ylabel('Median Salary (USD)')
plt.title('Median Salary (USD) by Age')
plt.show()
#Basic line graph using python module matplotlib
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