This library was created in 2008, and name comes from ‘Panel Data’ or ‘Python Data Analysis’
- task What all functionalities do pandas provide?
import pandas as pd
# Create pandas dataframe
pd.DataFrame
# Create Series
pd.Series
bar_chart
# importing matplotlib
import matplotlib.pyplot
import pandas as pd
import numpy as np
# creating a dataframe
df = pd.DataFrame(np.random.rand(10, 3), columns =['a', 'b', 'c'])
print(df)
df.plot.bar()
Show count
import pandas as pd
import matplotlib.pyplot as plt
# draw bar chart from pirate_attacks.csv
data = pd.read_csv("C:/Users/SiddharthSharma/Code/VesselInsightRepos/maritime-data-analysis/pirates-data/pirate_attacks.csv")
location_description = data['location_description'].value_counts().plot(kind='bar',
figsize=(14,8),
title="Number for each Owner Name")
ax.set_xlabel("Owner Names")
ax.set_ylabel("Frequency")
plt.show()