Add values to existing rows -DataFrame

Question

I'm appending some weather data (from json- dict) - in Japanese to DataFrame.

I would like to have something like this

        天気             風
 0  状態: Clouds    風速: 2.1m
 1     NaN          向き: 230

But I have this

        天気             風
 0  状態: Clouds        NaN
 1      NaN          風速: 2.1m
 2      NaN           向き: 230

How Could I change the Codes to make it like that? Here is the code

df = pd.DataFrame(columns=['天気','風'])
df = df.append({'天気': weather_status}, ignore_index=True) # 状態: Clouds - value
df = df.append({'風': wind_speed}, ignore_index=True) # 風速: 2.1m -value
df = df.append({'風': wind_deg}, ignore_index=True) # 向き: 230 -value
print(df)

U13-Forward · Accepted Answer · 2019-04-23 03:52:56Z

2

One way could be:

df = pd.DataFrame(columns=['天気','風'])
df = df.append({'天気': weather_status, '風': wind_speed}, ignore_index=True)
df = df.append({'風': wind_deg}, ignore_index=True)
print(df)

And print without index

print(df.to_string(index=False))

edited Apr 23, 2019 at 3:52

answered Apr 23, 2019 at 2:17

U13-Forward

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1 Comment

user11040244 Over a year ago

Is there a way to lose that index numbers?

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