我有一个列是一个数组，并希望打印出不同的计数
Event
| project colors
展示OutPut
["Red", "Green", "Green", "Red"]
["Yellow", "Yellow", "Yellow", "Yellow"]
预期
["Red", "Green", "Green", "Red"] , 2
["Yellow", "Yellow", "Yellow", "Yellow"], 1
答案 0 :(得分：0)
这是我认为您想要的，使用A = pd.DataFrame({'Error Time':array1[:,0],'Err ID':array1[:,1],'Alert
Type':array1[:,2]})
B = pd.DataFrame({'Recover Time':array2[:,0], 'Rec ID':array2[:,1]})
data_array = pd.concat([A,B], axis=1) #Joins the two arrays together
pd.to_datetime(data_array['Error Time'],format='%H:%M:%S.%f').dt.time
pd.to_datetime(data_array['Recover Time'],format='%H:%M:%S.%f').dt.time
#data_array = data_array.sort_values(by=['Error Time'])
col_size = len(data_array['Error Time'])
for i in range(col_size):
if data_array.iloc[i,1] == data_array.iloc[i,3]:
indexA.append(i)
else:
for j in range(col_size):
if data_array.iloc[i,1] == data_array.iloc[j,3]:
if indexA.count(j) > 0:
j = j + 1
else:
indexA.append(j)
break
for k in range(col_size):
if indexA.count(k)== 0:
indexA.append(k)
data_array = data_array.reindex(['Error Time', 'Error ID', 'Alert
Type],index=[indexA])
和todynamic以及mvexpand，（和summarize来创建输入数据）
datatable将输出您在问题中的内容：
// create your sample data using datatable to make a 'fake' table
datatable (colors: string) [
'["Red", "Green", "Green", "Red"]',
'["Yellow", "Yellow", "Yellow", "Yellow"]'
]
// this part is answering your question
| extend c = todynamic(colors) // turns colors into arrays
| mvexpand c // expands all the values out of colors into their own rows (but each column value is still "dynamic" type)
| extend c = tostring(c) // turn the dynamic c column to strings to summarize the values
| summarize ["Count"] = dcount(c) by colors // count up distinct c values by each row