键入颜色时的语法错误 = matplotlib.pyplot.rcParams['axes.prop_cycle'].by_key()['color']

Question

不断获取的语法错误；

colors = matplotlib.pyplot.rcParams['axes.prop_cycle'].by_key()[
'color']

完整代码：

########### 1. Dependencies
import time
import math
import numpy as np
import pandas as pd
import matplotlib
import matplotlib.animation
import matplotlib.pyplot as plt
import scipy
from matplotlib.figure import Figure
from scipy.signal import filtfilt
# matplotlib.use ('TkAgg') # 3 FPS
import brainflow
from brainflow.board_shim import BoardShim, BrainFlowInputParams, LogLevels, BoardIds
from brainflow.data_filter import DetrendOperations, DataFilter, FilterTypes, AggOperations, WindowFunctions
import scipy.signal as sig

class CytonStream(object):
def __init__(self):
########### 2. Create Variables for Holding the Stream
self.display_window = DataFilter.get_nearest_power_of_two(500) # Attribute, DataFilter class contains methods for signal processing
self.data = [0]*self.display_window 
self.fft = [[0], [0]] # This is for the second "graph" of the Mathplotlib
########### 3. Connecting to Cyton Board
BoardShim.enable_dev_board_logger () 
params = BrainFlowInputParams()
board_id = BoardIds.CYTON_BOARD
self.sample_rate = BoardShim.get_sampling_rate(board_id)
self.board_channel = BoardShim.get_eeg_channels(board_id)[0]
params.serial_port = '/dev/cu.usbserial-DM03H7UU' # Port
board_id = 0 #BoardIds.CYTON_BOARD(0)
board = BoardShim(board_id, params) # Board Stream Object
board.prepare_session() # Prepare the session
# board.start_stream () # use this for default options
board.start_stream() #Create streaming thread 
self.board = board

########### 4. Creating Matplotlib Parmeters/ Plots
self.fig, axes = plt.subplots(3, 1, figsize=(11,7)
colors = matplotlib.pyplot.rcParams['axes.prop_cycle'].by_key()[
'color']

##### Set the Axes
self.wave_ax = axes[0] #Location 1

##### Set Title
self.wave_ax.set_title("Cyton Waveform") #Title 1

Answer 1

colors = ...行上方的行缺少一个右括号。

#                                                 ↓ this one
self.fig, axes = plt.subplots(3, 1, figsize=(11,7))
colors = matplotlib.pyplot.rcParams['axes.prop_cycle'].by_key()[
'color']