I'm trying to plot a DataFrame, but I'm not getting the results I need. This is an example of what I'm trying to do and what I'm currently getting. (I'm new in Python)
import pandas as pd
import matplotlib.pyplot as plt
my_data = {1965:{'a':52, 'b':54, 'c':67, 'd':45},
1966:{'a':34, 'b':34, 'c':35, 'd':76},
1967:{'a':56, 'b':56, 'c':54, 'd':34}}
df = pd.DataFrame(my_data)
df.plot( style=[])
plt.show()
I'm getting the following graph, but what I need is: the years in the X axis and each line must be what is currently in X axis (a,b,c,d). Thanks for your help!!.

import pandas as pd
import matplotlib.pyplot as plt
my_data = {1965:{'a':52, 'b':54, 'c':67, 'd':45},
1966:{'a':34, 'b':34, 'c':35, 'd':76},
1967:{'a':56, 'b':56, 'c':54, 'd':34}}
df = pd.DataFrame(my_data)
df.T.plot( kind='bar') # or df.T.plot.bar()
plt.show()

If this is what you want:
df = pd.DataFrame(my_data)
df.columns=[str(x) for x in df.columns] # convert year numerical values to str
df.T.plot()
plt.show()

you can do it this way:
ax = df.T.plot(linewidth=2.5)
plt.locator_params(nbins=len(df.columns))
ax.xaxis.set_major_formatter(mtick.FormatStrFormatter('%4d'))

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