我正在尝试使用python，mysql和matplotlib绘制股价数据图表。 该代码从mysql数据库获取数据。看起来可以成功完成。
数据将转换为列表，然后转换为numpy数组。
我对matplotlib完全陌生。任何帮助将不胜感激。 我尝试搜索错误消息，但还没有发现任何有用的信息。
错误似乎来自代码中的这一行。特别是在无花果关键字周围。
**fig,** ax1 = plt.subplot()
这是完整的代码：
import numpy as np
import csv
import matplotlib.pyplot as plt
from matplotlib import dates, ticker
import matplotlib
from mpl_finance import candlestick_ohlc
import pymysql
import pandas as pd
import sys
import os
from os import listdir
from os.path import isfile, join
ticker = '14D'
start_date = '20190107'
end_date = '20190111'
host = 'localhost'
user = 'user'
password = 'password'
db = 'trading'
def get_data_from_mysql(host, user, password, db, ticker, start_date, end_date):
# Create empty lists
date_data = []
open_data = []
high_data = []
low_data = []
close_data = []
volume_data = []
'''
This function load a csv file to MySQL table according to
the load_sql statement.
SELECT * FROM asx WHERE Symbol = '14D' AND Date >= '2019-01-02' AND Date <='2019-01-11'
'''
query_sql = 'SELECT * FROM asx WHERE Symbol = %s AND Date >= %s AND Date <= %s'
args = [ticker, start_date, end_date]
print('You are in get_data_from_mysql')
print(args)
try:
con = pymysql.connect(host=host,
user=user,
password=password,
db=db,
autocommit=True,
local_infile=1)
print('Connected to DB: {}'.format(host))
# Create cursor and execute Load SQL
cursor = con.cursor()
cursor.execute(query_sql, args)
results = cursor.fetchall()
# Print the results
for row in results:
date_data.append(row[1])
open_data.append(row[2])
high_data.append(row[3])
low_data.append(row[4])
close_data.append(row[5])
volume_data.append(row[6])
con.close()
except Exception as e:
print('Error: {}'.format(str(e)))
sys.exit(1)
# Convert the list items to string before printing them out
print(' '.join(map(str, date_data)))
print(' '.join(map(str, open_data)))
print(' '.join(map(str, high_data)))
print(' '.join(map(str, low_data)))
print(' '.join(map(str, close_data)))
print(' '.join(map(str, volume_data)))
# Convert the list into numpy arrays
open_val = np.array(open_data[1:], dtype=np.float64)
high_val = np.array(high_data[1:], dtype=np.float64)
low_val = np.array(low_data[1:], dtype=np.float64)
close_val = np.array(close_data[1:], dtype=np.float64)
# Matplotlib needs dates in floating numbers before they can be plotted
data_dates = []
for date in date_data[:1]:
new_date = dates.date2num(date)
data_dates.append(new_date)
# Create a compacted dataset for the ohlc plot
i = 0
ohlc_data = []
# While i is less that the number of items in the data_dates list
while i < len(data_dates):
stats_1_day = data_dates[i], open_val[i], high_val[i], low_val[i], close_val[i]
print(stats_1_day)
ohlc_data.append(stats_1_day)
# Increment the counter
i += 1
# Day format for the x labels
dayFormatter = dates.DateFormatter('%d-%b-%Y')
# Create a figure and an axis
fig, ax1 = plt.subplot()
# Colorup is green, colordown is red. Alpha = opacity of the candlestick (80pct opacity)
candlestick_ohlc(ax1, ohlc_data, width=0.5, colorup='g', colordown='r', alpha='0.8')
# Data verification check
'''
plt.plot(data_dates, open_val)
plt.plot(data_dates, high_val)
plt.plot(data_dates, low_val)
plt.plot(data_dates, close_val)
'''
# Format the dates
ax1.xaxis.set_major_formatter(dayFormatter)
ax1.xaxis.set_major_locator(ticker.MaxNLocator(10)) # specify the number of ticks in the x axis
plt.xticks(rotation=30) # rotates the x axis titles by 30 degrees
plt.xlabel('Date')
plt.ylabel('14D')
plt.title('Historical Data for the period of 07-01-2019 to 11-01-2019')
plt.tight_layout
plt.show
get_data_from_mysql(host, user, password, db, ticker, start_date, end_date)
这是错误消息：
Traceback (most recent call last):
File "SimpleJapaneseCandlestick_v0.4.py", line 128, in <module>
get_data_from_mysql(host, user, password, db, ticker, start_date, end_date)
File "SimpleJapaneseCandlestick_v0.4.py", line 107, in get_data_from_mysql
fig, ax1 = plt.subplot()
TypeError: cannot unpack non-iterable AxesSubplot object
谢谢。