Question

有两个df

df1和df2

df1：

   21   |   20   |   1   |  2   | 3  | 4 | 5  | 8 | 9 | 10

df2：

1   |   2    |   3    |  4   | 5  
abc     asdf    df       132   248
ban     cat     ball     bcd   aisc

如何合并两个df，以便获得所需的输出

需要的输出：

  21   |   20   |   1   |  2   | 3  | 4   |   5  | 8  | 9   | 10
  nan      nan     abc     asdf  df   132     248  nan  nan   nan
  nan      nan     ban     cat   ball bcd     aisc nan  nan   nan

Answer 1

您可以通过concat(..) [pandas-doc]来获取此信息：

# creating a deep learning model with keras
def build_model():
    model = Sequential()

    model.add(Dense(64, input_dim=4, activation='relu'))
    model.add(Dense(32, activation='relu'))
    model.add(Dense(16, activation='relu'))

    model.add(Dense(1, activation='sigmoid'))

    model.compile(Adam(lr=lr, decay=decay), loss='mse')
    model.summary()
    return model

model = build_model()

# running the game
for i_episodes in range(200):
    env.reset()
    for i in range(100):
        env.render()
        action = env.action_space.sample()
        observation, reward, done, info = env.step(action)

        # observation = ndarray float64
        # reward = float
        # done = bool
        # action = int
        # info = empty

        observation = np.asarray(observation)
        reward = np.asarray(reward)
        action = np.asarray(action)

        model.fit(np.expand_dims(observation, axis=0), np.expand_dims(action, axis=0))

这将如文档所述：

使用可选的设置将熊猫对象沿着特定的轴连接起来   逻辑沿着其他轴。

还可以在串联上添加一层分层索引   轴，如果标签相同（或重叠），则可能会有用   在传递的轴号上。

它将因此对两个数据框的列名称进行“合并”，然后为对应列的两个数据框之一中缺少的列填充install.packages("lavaan") install.packages ("semPlot") install.packages ("semTools") install.packages("psych") install.packages("MVN") install.packages("mvtnorm") install.packages("ggplot2") install.packages("qgraph") install.packages("psych")。

注意：列名显然不应多次出现。如果发生这种情况，那当然会出错，因为不清楚如何处理这种情况。

如果列名称在 empty 数据框中多次出现，则可以使用以下方法解决该问题：

ILI <- 'proto =~ ILproto_1 + ILproto_2 + ILproto_3 + ILproto_4
        advance =~ ILadvance_1 + ILadvance_2 + ILadvance_3 + ILadvance_4
        entre =~ ILentre_1 + ILentre_2 + ILentre_3 + ILentre_4
        impres =~ ILimpres_1 + ILimpres_2 + ILimpres_3'

#fit the model
ILI.fit <- cfa(ILI, data=vdata_clean1, meanstructure = TRUE, std.lv = TRUE, estimator = "MLM")
parameterEstimates(ILI.fit,ci=FALSE, standardized= TRUE)
summary(ILI.fit,fit.measures = TRUE, standardized=T, rsquare=T)

#create picture:
semPaths(ILI.fit, whatLabels = "std", layout = "tree")

#plot path diagram:
semPaths(ILI.fit, title=FALSE, 
         curvePivot = TRUE)

#standardized parameters:
semPaths(ILI.fit, edge.label.cex=1.2, whatLabels ="std", layout = "tree", rotation = 2,
         what = "std", edge.color = "Black", curvePivot = F, exoVar = T)

作为预处理步骤。

如何合并两个具有空数据的数据框

1 个答案: