python3よく書くコード集
順位 | 名前 | スコア | 称号 | 打鍵/秒 | 正誤率 | 時間(秒) | 打鍵数 | ミス | 問題 | 日付 |
---|---|---|---|---|---|---|---|---|---|---|
1 | ss | 2255 | F++ | 2.3 | 94.6% | 231.0 | 552 | 31 | 30 | 2024/04/27 |
問題文
(kmeans)
Kmeans
(init)
init
(n_clusters)
n_clusters
(y_pred)
y_pred
(fit(x))
fit(X)
(predict)
predict
(import numpy as np)
import numpy as np
(value_counts())
value_counts()
(import pandas as pd)
import pandas as pd
(import matplotlib.pyplot as plt)
import matplotlib.pyplot as plt
(import seaborn as sns)
import seaborn as sns
(factories.head())
factories.head()
(warehouses.head())
warehouses.head()
(cost.head())
cost.head()
(trans.head())
trans.head()
(join_data = pd.dataframe())
join_data = pd.DataFrame()
(join_data.drop(”fcid”,axis=1))
join_data.drop("FCID", axis=1)
(join_data.drop(”whid”,axis=1))
join_data.drop("WHID",axis=1)
(join_data.loc[join_data[”wh”]==1])
join_data.loc[join_data["WH"]==1]
(import networkx as nx)
import networkx as nx
(g = nx.graph())
G = nx.Graph()
(g.add_node(”nodea”))
G.add_node("nodeA")
(g.add_edge(”nodea”,”nodeb”))
G.add_edge("nodeA","nodeB")
(g.add_edge(”nodeb”,”nodec”))
G.add_edge("nodeB","nodeC")
(pos[”nodea”] = (0,0))
pos["nodeA"] = (0,0)
(pos = {})
pos = {}
(pos[”nodeb”] = (3,2))
pos["nodeB"] = (3,2)
(pos[”nodec”] = (4,9))
pos["nodeC"] = (4,9)
(nx.draw(g,pos))
nx.draw(G,pos)
(plt.show())
plt.show()
(for i in range(len(df_w.columns)):)
for i in range(len(df_w.columns)):
(font_color=”w”)
font_color="w"
(node_color=”r”,)
node_color="r",
(node_size=1000,)
node_size=1000,
(edge_weights.append(df_w.iloc[i][j]))
edge_weights.append(df_w.iloc[i][j]*
(if i != j:)
if i != j :
(def trans_cost(df_tr, df_tc):)
def trans_cost(df_tr, df_tc):
(cost += df_tr.iloc[i][j])
cost += df_tr.iloc[i][j]
(return cost)
return cost
(index_col=”factory”)
index_col="factory"