Question

我从网址中提取了JSON数据。结果是一本字典。如何转换此字典以使每个键都是一列，时间戳是每一行的索引 - 每次调用url时dict values对应于行条目？

以下是数据：

with urllib.request.urlopen('https://api.blockchain.info/stats') as url:
    block_data = json.loads(url.read().decode())

# Convert to Pandas
block_df = pd.DataFrame(block_data)

我试过了：

block_df = pd.DataFrame(block_data)
block_df = pd.DataFrame(block_data, index = 'timestamp')
block_df = pd.DataFrame.from_dict(block_data)
block_df = pd.DataFrame.from_dict(block_data, orient = 'columns')

但所有尝试都会产生不同的错误：

ValueError：如果使用所有标量值，则必须传递索引

和

TypeError：索引（...）必须使用某种类型的集合调用，＆＃39;时间戳＆＃39;通过了

Answer 1

将block_data包裹在列表中

pd.DataFrame([block_data]).set_index('timestamp')

               blocks_size    difficulty  estimated_btc_sent  estimated_transaction_volume_usd     hash_rate  market_price_usd  miners_revenue_btc  miners_revenue_usd  minutes_between_blocks  n_blocks_mined  n_blocks_total   n_btc_mined    n_tx  nextretarget   total_btc_sent  total_fees_btc           totalbc  trade_volume_btc  trade_volume_usd
timestamp                                                                                                                                                                                                                                                                                                                                                
1504121943000    167692649  888171856257      24674767461479                      1.130867e+09  7.505715e+09           4583.09                2540         11645247.85                    7.92             170          482689  212500000000  281222        483839  174598204968248     41591624963  1653361250000000          43508.93      1.994054e+08

使用datetime索引。

df = pd.DataFrame([block_data]).set_index('timestamp')
df.index = pd.to_datetime(df.index, unit='ms')
df

                     blocks_size    difficulty  estimated_btc_sent  estimated_transaction_volume_usd     hash_rate  market_price_usd  miners_revenue_btc  miners_revenue_usd  minutes_between_blocks  n_blocks_mined  n_blocks_total   n_btc_mined    n_tx  nextretarget   total_btc_sent  total_fees_btc           totalbc  trade_volume_btc  trade_volume_usd
timestamp                                                                                                                                                                                                                                                                                                                                                      
2017-08-30 19:39:03    167692649  888171856257      24674767461479                      1.130867e+09  7.505715e+09           4583.09                2540         11645247.85                    7.92             170          482689  212500000000  281222        483839  174598204968248     41591624963  1653361250000000          43508.93      1.994054e+08

将json dict转换为pandas df

1 个答案: