[英]Python Pandas groupby, row value to column headers
I have a DataFrame which I want to transpose:我有一个要转置的 DataFrame:
import pandas as pd
sid= '13HKQ0Ue1_YCP-pKUxFuqdiqgmW_AZeR7P3VsUwrCnZo' # spreadsheet id
gid = 0 # sheet unique id (0 equals sheet0)
url = 'https://docs.google.com/spreadsheets/d/{}/export?gid={}&format=csv'.format(sid,gid)
df = pd.read_csv(url)
What I want to do is get the StoreName and CATegory as column header and have weights vs price for every category.我想要做的是获取 StoreName 和 CATegory 作为列标题,并为每个类别设置权重与价格。
Desired Output :期望输出:
I have tried Loops, Pandas but cannot figure it out,我尝试过 Loops、Pandas 但无法弄清楚,
I thought it could have been done by df.GroupBy but the returned object is not a DataFrame.我认为它可以由 df.GroupBy 完成,但返回的对象不是 DataFrame。
I get all this from a JSON output of an API:我从 API 的 JSON 输出中得到所有这些:
API Link for 1STORE 1STORE 的 API 链接
import pandas as pd
import json, requests
from cytoolz.dicttoolz import merge
page = requests.get(mainurl)
dict_dta = json.loads(page.text) # load in Python DICT
list_columns = ['id', 'name', 'category_name', 'ounce', 'gram', 'two_grams', 'quarter', 'eighth','half_ounce','unit','half_gram'] # get the unformatted output
df = pd.io.json.json_normalize(dict_dta, ['categories', ['items']]).pipe(lambda x: x.drop('prices', 1).join(x.prices.apply(lambda y: pd.Series(merge(y)))))[list_columns]
df.to_csv('name')
I have tried tons of methods.我已经尝试了很多方法。 If someone could just point me in the right direction, it would be very helpful.
如果有人能指出我正确的方向,那将非常有帮助。
Is this in the right direction?这是在正确的方向吗?
import pandas as pd
sid= '13HKQ0Ue1_YCP-pKUxFuqdiqgmW_AZeR7P3VsUwrCnZo' # spreadsheet id
gid = 0 # sheet unique id (0 equals sheet0)
url = 'https://docs.google.com/spreadsheets/d/{}/export?gid={}&format=csv'.format(sid,gid)
df = pd.read_csv(url)
for idx, dfx in df.groupby(df.CAT):
if idx != 'Flower':
continue
df_test = dfx.drop(['CAT','NAME'], axis=1)
df_test = df_test.rename(columns={'StoreNAME':idx}).set_index(idx).T
df_test
Returns:返回:
Flower Pueblo West Organics - Adult Use Pueblo West Organics - Adult Use \
UNIT NaN NaN
HALFOUNCE 15.0 50.0
EIGHTH NaN 25.0
TWOGRAMS NaN NaN
QUARTER NaN 40.0
OUNCE 30.0 69.0
GRAM NaN 9.0
Flower Pueblo West Organics - Adult Use Three Rivers Dispensary - REC \
UNIT NaN NaN
HALFOUNCE 50.0 75.0
EIGHTH 25.0 20.0
TWOGRAMS NaN NaN
QUARTER 40.0 45.0
OUNCE 69.0 125.0
GRAM 9.0 8.0
Flower Three Rivers Dispensary - REC
UNIT NaN
HALFOUNCE 75.0
EIGHTH 20.0
TWOGRAMS NaN
QUARTER 40.0
OUNCE 125.0
GRAM 8.0
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