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macd hist透明度调成0.5

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aszerW
2025-10-19 13:43:07 +08:00
parent c6a1da2449
commit deb4ce7a0b
1 changed files with 12 additions and 8 deletions
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16
chart.py
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@@ -224,17 +224,21 @@ class QuantChart:
histogram = macd_chart.create_histogram(name=macd_name) histogram = macd_chart.create_histogram(name=macd_name)
hist_data = df[["time", macd_name]].copy() hist_data = df[["time", macd_name]].copy()
hist_data['prev_value'] = hist_data[macd_name].shift(1) hist_data["prev_value"] = hist_data[macd_name].shift(1)
# 设置颜色逻辑 # 设置颜色逻辑
def get_histogram_color(row): def get_histogram_color(row):
current, prev = row[macd_name], row['prev_value'] current, prev = row[macd_name], row["prev_value"]
is_hollow = (current >= 0 and current < prev) or (current < 0 and current > prev) is_hollow = (current >= 0 and current < prev) or (
current < 0 and current > prev
)
if current >= 0: if current >= 0:
return "rgba(255, 0, 0, 0.3)" if is_hollow else "#ff0000" return "rgba(255, 0, 0, 0.5)" if is_hollow else "#ff0000"
else: else:
return "rgba(0, 255, 0, 0.3)" if is_hollow else "#00FF00" return "rgba(0, 255, 0, 0.5)" if is_hollow else "#00FF00"
hist_data["color"] = hist_data.apply(get_histogram_color, axis=1) hist_data["color"] = hist_data.apply(get_histogram_color, axis=1)
hist_data = hist_data.drop('prev_value', axis=1) hist_data = hist_data.drop("prev_value", axis=1)
histogram.set(hist_data) histogram.set(hist_data)