पंक्तियों के माध्यम से पांडा डेटाफ्रेम लूप
कोड उदाहरण
पंक्तियों के माध्यम से पांडा लूप
for index, row in df.iterrows():
print(row['c1'], row['c2'])
Output:
10 100
11 110
12 120पर पुनरावृति पंक्तियों dataframe
df = pd.DataFrame([{'c1':10, 'c2':100}, {'c1':11,'c2':110}, {'c1':12,'c2':120}])
for index, row in df.iterrows():
print(row['c1'], row['c2'])iterrows पांडा
>>> df = pd.DataFrame([[1, 1.5]], columns=['int', 'float'])
>>> row = next(df.iterrows())[1]
>>> row
int 1.0
float 1.5
Name: 0, dtype: float64
>>> print(row['int'].dtype)
float64
>>> print(df['int'].dtype)
int64
पांडा पुनरावृति पंक्तियाँ
import pandas as pd
import numpy as np
df = pd.DataFrame({'c1': [10, 11, 12], 'c2': [100, 110, 120]})
for index, row in df.iterrows():
print(row['c1'], row['c2'])
इसी तरह के पन्ने
उदाहरणों के साथ समान पृष्ठ
अन्य भाषाओं में
यह पृष्ठ अन्य भाषाओं में है
empty row
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इस श्रेणी में लोकप्रिय
श्रेणी में उदाहरण के साथ लोकप्रिय पृष्ठों
empty row