[英]How do you assign a row to a Panda data frame while iterating?
import reverse_geocoder as rg
import pandas as pd
for i in range(len(df_train)) :
coordinate = (df_train.loc[i, "Lat"], df_train.loc[i, "Long_"])
geo_dict=rg.get(coordinate)
geo_code.loc[i,:]=pd.DataFrame.from_dict(geo_dict,orient='index').T
# geo_code=pd.DataFrame.from_dict(geo_dict,orient='index').T
print (geo_code)
我想以 geo_code DF 結束,從每個反向地理編碼查找中繼續一行。 我的任務
geo_code.loc[i,:]
不起作用。
enter code here`import reverse_geocoder as rg
import pandas as pd
geo_code=pd.DataFrame()
for i in range(len(df_train)) :
coordinate = (df_train.loc[i, "Lat"], df_train.loc[i, "Long_"])
geo_dict=rg.get(coordinate)
geo_code=geo_code.append(pd.DataFrame.from_dict(geo_dict,orient='index').T)
您正在嘗試在創建數據框之前訪問 DataFrame 索引
df_train = pd.DataFrame({"Lat": [36.778259,28.644800],"Long_":[-119.417931,77.216721]})
for i in range(len(df_train)):
coordinate = (df_train.loc[i, "Lat"], df_train.loc[i, "Long_"])
geo_dict=rg.get(coordinate)
value_array = np.array([[el] for el in geo_dict.values()]).reshape(1,-1)
if i == 0:
geo_code = pd.DataFrame(value_array, columns=geo_dict.keys())
else:
d1 = pd.DataFrame(value_array, columns=geo_dict.keys())
geo_code = pd.concat([geo_code, d1], ignore_index=True)
打印(地理代碼)
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