我想以不同的方式打印字典。 现在，我正在使用Pandas将字典转换为Dataframes，组合几个Dataframe，然后将它们打印到文件中（参见下面的代码）。 然而，熊猫的行动似乎需要很长时间，我想更有效地做到这一点。
是否可以在保留输出文件结构的同时更有效地执行以下方法？（例如直接从字典打印？）
import pandas as pd
labels = ["A", "B", "C"]
periods = [0, 1, 2]
header = ['key', 'scenario', 'metric', 'labels']
metrics_names = ["metric_balances", "metric_record"]
key = "key_x"
scenario = "base"
# The metrics are structured as dicts where the keys are `periods` and the values
# are arrays (where each array entry correspond to one of the `labels`)
metric_balances = {0: [1000, 100, 50], 1: [900, 150, 100], 2: [800, 350, 100]}
metric_record = {0: [20, 10, 5], 1: [90, 15, 10], 2: [80, 35, 10]}
# Combine all metrics into one output structure for key "x"
output_x = pd.concat([pd.DataFrame(metric_balances, columns=periods, index=labels),
pd.DataFrame(metric_record, columns=periods, index=labels)],
keys=pd.MultiIndex.from_product([[key], [scenario], metrics_names]),
names=header)
key = "key_y"
scenario = "base_2"
metric_balances = {0: [2000, 200, 50], 1: [1900, 350, 100], 2: [1200, 750, 100]}
metric_record = {0: [40, 5, 3], 1: [130, 45, 10], 2: [82, 25, 18]}
# Combine all metrics into one output structure for key "y"
output_y = pd.concat([pd.DataFrame(metric_balances, columns=periods, index=labels),
pd.DataFrame(metric_record, columns=periods, index=labels)],
keys=pd.MultiIndex.from_product([[key], [scenario], metrics_names]),
names=header)
# Concatenate all output dataframes
output = pd.concat([output_x, output_y], names=header)
# Print results to a csv file
output.to_csv("test.csv", index=False)
以下是各自的产出：
OUTPUT X
0 1 2
key scenario metric labels
key_x base metric_balances A 1000 900 800
B 100 150 350
C 50 100 100
metric_record A 20 90 80
B 10 15 35
C 5 10 10
-----------------------------------
OUTPUT Y
0 1 2
key scenario metric labels
key_y base_2 metric_balances A 2000 1900 1200
B 200 350 750
C 50 100 100
metric_record A 40 130 82
B 5 45 25
C 3 10 18
------------------------------
OUTPUT COMBINED
0 1 2
key scenario metric labels
key_x base metric_balances A 1000 900 800
B 100 150 350
C 50 100 100
metric_record A 20 90 80
B 10 15 35
C 5 10 10
key_y base_2 metric_balances A 2000 1900 1200
B 200 350 750
C 50 100 100
metric_record A 40 130 82
B 5 45 25
C 3 10 18
我正在研究字典的行式打印 - 但我在将labels与相关数组合并时遇到了困难。