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import numpy as np
import pandas as pd
import dslr_stat
class Analysis:
def __init__(self, df):
self.df = df
def describe(self):
desc_df = pd.DataFrame(
dtype=np.float64,
columns=[c for c, t in zip(self.df.columns, self.df.dtypes) if t == np.float64],
index=['Count', 'Mean', 'Std', 'Min', '25%', '50%', '75%', 'Max']
)
for col in desc_df.columns:
desc_df.loc['Count', col] = len(self.df[col])
desc_df.loc['Mean', col] = dslr_stat.mean(self.df[col])
desc_df.loc['Std', col] = dslr_stat.std(self.df[col])
desc_df.loc['Min', col] = dslr_stat.min(self.df[col])
desc_df.loc['25%', col] = dslr_stat.q25(self.df[col])
desc_df.loc['50%', col] = dslr_stat.median(self.df[col])
desc_df.loc['75%', col] = dslr_stat.q75(self.df[col])
desc_df.loc['Max', col] = dslr_stat.max(self.df[col])
print(desc_df)
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