Question

我正在创建一个计数器列，该计数器列仅在（i-1）的值与（i）的值不同时才增加，但在user_id更改时会重置。

输入：

func foo(bar: Any) {}
var faz = foo

foo(1) // Missing argument label 'bar:' in call
foo(bar: 1)
faz(1)
faz(bar: 1) // Extraneous argument label 'bar:' in call

下面是我的代码：

@GET
@Path("get-oauth-google-drive/{email}/{token}")
@Produces(MediaType.TEXT_PLAIN)
public String getOauthGoogleDrive(
        @PathParam("email") String email,
        @PathParam("token") String token
) {
    String linkForOauth = "https://accounts.google.com/o/oauth2/v2/auth?response_type=code&client_id=" + client_id + "&redirect_uri=" + domain + "/rest/myresource/callback&scope=https://www.googleapis.com/auth/drive.appdata&access_type=offline";
    return linkForOauth;
}

@POST
@Consumes({MediaType.APPLICATION_JSON})
@Path("granted-callback")
@Produces(MediaType.TEXT_PLAIN)
public String callbackGranted(
        String  msg
) {
    System.out.println("Drive Access GRANTED");
    return "";
}

@GET
@Path("callback")
@Produces(MediaType.TEXT_PLAIN)
public String callbackOauth(
        @QueryParam("code") String code,
        @QueryParam("scope") String scope
) {
    try
    {
        HttpClient httpclient = HttpClients.createDefault();
        HttpPost httpPost = new HttpPost("https://www.googleapis.com/oauth2/v4/token");
        httpPost.addHeader("Content-Type", "application/x-www-form-urlencoded");
        InputStream inputStream = getResourceAsStream(CREDENTIALS_FILE_PATH);
        GoogleClientSecrets googleClientSecrets = GoogleClientSecrets.load(JSON_FACTORY, new InputStreamReader(inputStream));
        String clientId = googleClientSecrets.getDetails().getClientId();
        String clientSecret = googleClientSecrets.getDetails().getClientSecret();
        String redirectURI = domain + "/rest/myresource/granted-callback";
        List<NameValuePair> params = new ArrayList<>();
        params.add(new BasicNameValuePair("code", code));
        params.add(new BasicNameValuePair("client_id", clientId));
        params.add(new BasicNameValuePair("client_secret", clientSecret));
        params.add(new BasicNameValuePair("redirect_uri", URLEncoder.encode(redirectURI, "UTF-8")));
        params.add(new BasicNameValuePair("grant_type", "authorization_code"));
        httpPost.setEntity(new UrlEncodedFormEntity(params, "UTF-8"));
        HttpResponse response = httpclient.execute(httpPost);
        System.out.println(response);
    }
    catch (Exception ex)
    {
        ex.printStackTrace();
    }
    return "Merci de votre inscription vous allez être redirigé incessamment sous peu.";
}

下面是所需的输出：

user_id sc_id
1         100
1         100
1         101
1         102
2         100
2         101
3         101
3         103

Answer 1

我们可以将groupby与cumcount一起使用，在此之前重复复制，因此user_id和sc_id都得到相同的subcat_counter。之后，我们fillna和forwardfill (ffill)：

df['subcat_counter'] = df.drop_duplicates(['user_id', 'sc_id'])\
                       .groupby(['user_id'])['sc_id']\
                       .cumcount()+1

df.fillna(method='ffill', inplace=True)

print(df)
   user_id  sc_id  subcat_counter
0        1    100             1.0
1        1    100             1.0
2        1    101             2.0
3        1    102             3.0
4        2    100             1.0
5        2    101             2.0
6        3    101             1.0
7        3    103             2.0

Answer 2

您可以使用groupby

这样操作

df['subcat_counter'] = (df.groupby('user_id')['sc_id']
                          .transform(lambda x: x.diff().gt(0).cumsum() + 1))

输出：

   user_id  sc_id  subcat_counter
0        1    100               1
1        1    100               1
2        1    101               2
3        1    102               3
4        2    100               1
5        2    101               2
6        3    101               1
7        3    103               2

如果前一列中的值不同，则使计数器增加，但当其他列中的值更改时，该计数器复位吗？

2 个答案: